Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets

Here we quantify the abundance and distribution of three primary permafrost region disturbances (PRD; lakes and their dynamics, wildfires, retrogressive thaw slumps) using trend analysis of 30-m resolution Landsat imagery from 1999-2014 and auxiliary datasets. The dataset spans four continental-scal...

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Bibliographic Details
Main Authors: Nitze, Ingmar, Grosse, Guido, Jones, Benjamin M, Romanovsky, Vladimir E, Boike, Julia
Format: Other/Unknown Material
Language:English
Published: PANGAEA 2018
Subjects:
AWI_PerDyn
Cryosphere
ESA Data User Element - GlobPermafrost
ESA-DUE-GlobPermafrost
Permafrost Research (Periglacial Dynamics) @ AWI
PETA-CARB
Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
Arctic
permafrost
Subarctic
Alaska
Siberia
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.894755
https://doi.org/10.1594/PANGAEA.894755
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.894755
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.894755 2024-09-15T17:50:35+00:00 Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets Nitze, Ingmar Grosse, Guido Jones, Benjamin M Romanovsky, Vladimir E Boike, Julia MEDIAN LATITUDE: 63.659000 * MEDIAN LONGITUDE: 164.944067 * SOUTH-BOUND LATITUDE: 56.980000 * WEST-BOUND LONGITUDE: 69.530000 * NORTH-BOUND LATITUDE: 66.990000 * EAST-BOUND LONGITUDE: -76.510000 2018 application/zip, 3 datasets https://doi.pangaea.de/10.1594/PANGAEA.894755 https://doi.org/10.1594/PANGAEA.894755 en eng PANGAEA Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Data Documentation v1.0: Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. https://hs.pangaea.de/sat/NitzeI-etal_2018/Nitze_etal_2018-DataDocumentation-v1_0.pdf https://doi.pangaea.de/10.1594/PANGAEA.894755 https://doi.org/10.1594/PANGAEA.894755 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Supplement to: Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nature Communications, 9(1), https://doi.org/10.1038/s41467-018-07663-3 AWI_PerDyn Cryosphere ESA Data User Element - GlobPermafrost ESA-DUE-GlobPermafrost Permafrost Research (Periglacial Dynamics) @ AWI PETA-CARB Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool dataset publication series 2018 ftpangaea https://doi.org/10.1594/PANGAEA.89475510.1038/s41467-018-07663-3 2024-07-24T02:31:21Z Here we quantify the abundance and distribution of three primary permafrost region disturbances (PRD; lakes and their dynamics, wildfires, retrogressive thaw slumps) using trend analysis of 30-m resolution Landsat imagery from 1999-2014 and auxiliary datasets. The dataset spans four continental-scale transects in North America (Alaska, Eastern Canada) and Eurasia (Western Siberia, Eastern Siberia), covering 2.3M km² or ~10% of the permafrost region. This data publication contains geospatial vector files (polygons) of the perimeters of PRD. The data are subdivided by PRD type (lakes, wildfire, retrogressive thaw slumps) and further subdivided by study region (T1_WS, T2_ES, T3_AK, T4_EC). T1_WS: Western SIberia T2_ES: Eastern Siberia T3_AK: Alaska T4_EC: Eastern Canada The datasets are documented in detail in the linked document (Nitze_etal_2018: Data Documentation v1.0). Other/Unknown Material Arctic permafrost Subarctic Alaska Siberia PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(69.530000,-76.510000,66.990000,56.980000)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic AWI_PerDyn
Cryosphere
ESA Data User Element - GlobPermafrost
ESA-DUE-GlobPermafrost
Permafrost Research (Periglacial Dynamics) @ AWI
PETA-CARB
Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
spellingShingle AWI_PerDyn
Cryosphere
ESA Data User Element - GlobPermafrost
ESA-DUE-GlobPermafrost
Permafrost Research (Periglacial Dynamics) @ AWI
PETA-CARB
Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
Nitze, Ingmar
Grosse, Guido
Jones, Benjamin M
Romanovsky, Vladimir E
Boike, Julia
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets
topic_facet AWI_PerDyn
Cryosphere
ESA Data User Element - GlobPermafrost
ESA-DUE-GlobPermafrost
Permafrost Research (Periglacial Dynamics) @ AWI
PETA-CARB
Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
description Here we quantify the abundance and distribution of three primary permafrost region disturbances (PRD; lakes and their dynamics, wildfires, retrogressive thaw slumps) using trend analysis of 30-m resolution Landsat imagery from 1999-2014 and auxiliary datasets. The dataset spans four continental-scale transects in North America (Alaska, Eastern Canada) and Eurasia (Western Siberia, Eastern Siberia), covering 2.3M km² or ~10% of the permafrost region. This data publication contains geospatial vector files (polygons) of the perimeters of PRD. The data are subdivided by PRD type (lakes, wildfire, retrogressive thaw slumps) and further subdivided by study region (T1_WS, T2_ES, T3_AK, T4_EC). T1_WS: Western SIberia T2_ES: Eastern Siberia T3_AK: Alaska T4_EC: Eastern Canada The datasets are documented in detail in the linked document (Nitze_etal_2018: Data Documentation v1.0).
format Other/Unknown Material
author Nitze, Ingmar
Grosse, Guido
Jones, Benjamin M
Romanovsky, Vladimir E
Boike, Julia
author_facet Nitze, Ingmar
Grosse, Guido
Jones, Benjamin M
Romanovsky, Vladimir E
Boike, Julia
author_sort Nitze, Ingmar
title Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets
title_short Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets
title_full Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets
title_fullStr Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets
title_full_unstemmed Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic, Datasets
title_sort remote sensing quantifies widespread abundance of permafrost region disturbances across the arctic and subarctic, datasets
publisher PANGAEA
publishDate 2018
url https://doi.pangaea.de/10.1594/PANGAEA.894755
https://doi.org/10.1594/PANGAEA.894755
op_coverage MEDIAN LATITUDE: 63.659000 * MEDIAN LONGITUDE: 164.944067 * SOUTH-BOUND LATITUDE: 56.980000 * WEST-BOUND LONGITUDE: 69.530000 * NORTH-BOUND LATITUDE: 66.990000 * EAST-BOUND LONGITUDE: -76.510000
long_lat ENVELOPE(69.530000,-76.510000,66.990000,56.980000)
genre Arctic
permafrost
Subarctic
Alaska
Siberia
genre_facet Arctic
permafrost
Subarctic
Alaska
Siberia
op_source Supplement to: Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nature Communications, 9(1), https://doi.org/10.1038/s41467-018-07663-3
op_relation Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Romanovsky, Vladimir E; Boike, Julia (2018): Data Documentation v1.0: Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. https://hs.pangaea.de/sat/NitzeI-etal_2018/Nitze_etal_2018-DataDocumentation-v1_0.pdf
https://doi.pangaea.de/10.1594/PANGAEA.894755
https://doi.org/10.1594/PANGAEA.894755
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.89475510.1038/s41467-018-07663-3
_version_ 1810292396609503232

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